Lead Generation Powered by Analytics
Go beyond lead quality and measure the impact your marketing has on lead profitability
Having Trouble Generating Profitable Leads?
Bringing together all the relevant data across systems is hard. It takes a combination of people with the right technical skills to combine user data and present it to your team in a way that helps you understand how your marketing efforts are influencing your customer.
Without a clear picture of the relationship between media dollars spent and quality leads generated you’re going to make ill-advised decisions.
To drive lead volume you may invest in the wrong channel, to drive lead efficiency you may kill all the quality, and without knowing what marketing efforts are influencing your leads you’re never going to scale your business.
Failure is when you’re delivering leads that are not qualified, and you don’t have a clear and confident plan for improvement.
We'll Make Sure You're Prepared
Lead generation powered by analytics starts with alignment on the source of truth and the definitions of a “lead.” From there it is building custom reporting that showcases the performance of the levers you can actually pull so you can take meaningful action with your data. This allows you to hold your vendors and traffic channels accountable based on a real and measurable contribution to lead volume and quality.
Success is when you can measure the influence of your marketing efforts on how they impact each stage of your customers journey, from awareness through lifetime value.
adMind Analytics Specialists
adMind is comprised of data analysts who each specialize in a different area of data engineering, from Data Architects to Data Visualization engineers.
Our certified Project Managers work together with our Architects to curate the team best suited to deliver your scope of work.
Analytics Architects design the technology solution to support an analytics system customized around your needs.
Analytics Engineers assist in and or implement systems to properly collect data from multiple systems.
Data Engineers extract data and join data collected on a user from one system with data collected on that same user in other systems in preparation for analysis.
Visualization Engineers take the available data and make it accessible to the right people in the right formats.
Business Analysts review the data to spot significant outlying data points and present likely causality around performance changes.
Certified PM's breakdown the scope of work outlined by Architects and work with our internal teams to report work to clients.
We know it can be tough, we see it all the time. Marketing teams are tasked with driving leads and at the same time are asked to be technology integration engineers. These marketing teams are then left fighting all kinds of data issues rather than spending their time creating influential marketing messages.
Salt Lake City, UT.
All the Analytics Skills. One goal.
From project management, to solution design to business analytics – our team is uniquely skilled to build your analytics.
Tyler St Clair
Ready to see how lead generation powered by analytics can drive growth for you?
1. Tell Us What You Need
2. We Optimize Your Analytics
3. Grow Your Market on Data You Trust
Brands That Trust Their Analytics to adMind
Measuring the Impact of Marketing
You generate traffic around a particular interest and offer your services or expertise as the solution to the pain that sparked the persons interest.
Traffic channels can include things like search engines, social media, emails, referrals and word of mouth.
The best marketers are able to curate messaging that resonates with the experience of their ideal consumer, and then match that with an offer to help that is genuine and solution oriented.
Developing a unique offering, creating awareness for your solution, providing a way for the person to initiate a conversation and then following up with the deliverable you promised.
Improve your messaging strategy by understanding that "leads" are real people with real problems.
Create content that resonates with people at every level of the buying cycle and get your brand on their radar as soon as the user realizes they have a pain they'd like solved.
Short answer: by how well they convert into sales. Quality leads should convert into quality customers at 25% or higher.
If not, read on.
Divide all your content assets, offers, CTA's, blogs, videos, white papers, etc, into categories based on where in the buying cycle someone would be if they were interested in a given asset.
Find a way to measure the effectiveness of each asset, view percentage of a video, time on page for a blog post, conversions of a white paper download.
You want to organize your content by the stage it is meant to influence. Whitepaper downloads should not be judged based on whether or not they led to a sale.
When you create content intended to influence someone in the stage they are at, you can then better prepare them for an eventual conversation with a sales rep.
Lead costs are dependent on 2 things.
How much you spent to get the traffic?
How well did you convince that person to supply contact details?
Traffic costs will vary wildly depending on traffic source, competition, the appeal of your offer, etc.
Your conversion rate of that traffic into a lead will be based on the experience you create through your content and messaging, along with the persons desire to receive what you are offering.
If you want to increase leads and decrease costs, get better at a few of these things simultaneously.
If you've done your marketing right, qualified lead traffic should convert into an actual lead at 50% or higher.
MQL stands for 'Marketing Qualified Lead'
SQL stands for 'Sales Qualified Lead'
The difference between those definitions depends on your business goals.
Essentially what you are asking is, what qualifies someone to continue to get messaging from marketing, and what qualifies someone to talk to a sales rep.
Measure your marketing impact
Ready to see how proper analytics can drive growth for you?
Schedule a strategy call today. Learn how a proper analytics practice can help you: